Optimal AI Assistance Thresholds

Definition

Optimal AI Assistance Thresholds examines the mechanisms, conditions and outcomes through which this factor shapes human cognition, learning, collaboration or sustainable performance in AI-supported settings.

Why this matters

Optimal AI Assistance Thresholds may materially affect human capability, independence, confidence, safety and productivity. Poorly designed assistance can create hidden costs even where short-term output appears to improve.

Research questions

At what assistance level do users achieve the best combined performance, learning and autonomy?

Hypotheses

Performance will follow an inverted-U curve, with the optimum varying by expertise and task novelty.

Proposed methods

multi-arm assistance-level experiments; longitudinal usage analysis; skill-retention tests; preference elicitation; A/B testing; pre-registered analysis; active comparison; subgroup and accessibility analysis; delayed retention or longitudinal follow-up; adverse-effect capture; reproducibility testing; participant debrief

Stakeholders and beneficiaries

end users; UX researchers; AI developers; product managers; safety teams; employers; regulators; AI safety evaluators; product accessibility leads